Results 11 to 20 of about 6,993,713 (204)
Complex & Intelligent SystemsCross-domain recommendation aims to integrate data from multiple domains and introduce information from source domains, thereby achieving good recommendations on the target domain.
Jianjun Ni +4 more
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On Cross-Domain Transfer in Venue Recommendation [PDF]
, 2019 Venue recommendation strategies are built upon collaborative filtering techniques that rely on matrix factorisation (mf), to model users’ preferences. Various cross-domain strategies have been proposed to enhance the effectiveness of mf-based models on a
Hauff, C. +9 more
core +2 more sources
, 2021 Shared-account Cross-domain Sequential Recommendation (SCSR) is the task of recommending the next item based on a sequence of recorded user behaviors, where multiple users share a single account, and their behaviours are available in multiple domains ...
Tong Chen +10 more
core +1 more source
Enhancing cross domain recommendation with domain dependent tags [PDF]
, 2016 © 2016 IEEE. One challenge in recommender system is to deal with data sparsity. To handle this issue, social tags are utilized to bring disjoint domains together for knowledge transfer in cross-domain recommendation.
Hao, P +5 more
core +1 more source
FedCDR: Privacy-preserving federated cross-domain recommendation
Digital Communications and Networks, 2022 Cross-Domain Recommendation (CDR) aims to solve data sparsity and cold-start problems by utilizing a relatively information-rich source domain to improve the recommendation performance of the data-sparse target domain.
Dengcheng Yan +4 more
doaj +1 more source
Exploiting Trust and Usage Context for Cross-Domain Recommendation
IEEE Access, 2016 Cross-domain recommender systems are usually able to suggest items, which are not in the same domain, where users provided ratings. For this reason, cross-domain recommendation has attracted more and more attention in recent years.
Zhenzhen Xu +4 more
doaj +1 more source
CROSS DOMAIN RECOMMENDATION USING VECTOR MODELING AND GENRE CORRELATIONS
ICTACT Journal on Soft Computing, 2018 Recommender systems are basically information retrieval systems that offer guidance to users in making individual decisions related to choosing items based on personal interests.
Mala Saraswat +4 more
doaj +1 more source
Trust and Distrust based Cross-domain Recommender System
Applied Artificial Intelligence, 2021 A recommender system (RS) provides assistance for users to filter out items of their interest in the presence of millions of available items. The reason is to find out the likewise user with the assumption that if users have shared similar interest in ...
Richa, Punam Bedi
doaj +1 more source
CD-SPM: Cross-domain book recommendation using sequential pattern mining and rule mining
Journal of King Saud University: Computer and Information Sciences, 2022 Recommender system suggests a personalized recommendation by filtering the information based on users interest. Nowadays, users like to purchase the best possible items and services to spend the shortest span of time.
Taushif Anwar, V. Uma
doaj +1 more source
GReS: Graphical Cross-domain Recommendation for Supply Chain Platform [PDF]
, 2022 Supply Chain Platforms (SCPs) provide downstream industries with numerous raw materials. Compared with traditional e-commerce platforms, data in SCPs is more sparse due to limited user interests.
Yang, Cheng +8 more
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